Factors Analysis Affecting Low Productivity in High-Rise Building Projects in Surabaya City

Abstract

High-rise building construction projects are characterized by significant risks and
numerous challenges, which frequently lead to low productivity, causing delays
and hindering project completion. One way to address these problems is to analyze
the risk factors of low productivity in construction projects using a clustering
method based on their probability and impact. This approach helps determine the
dominance level of each cluster and provides insights into the occurrence of risk
factors that affect low productivity in high-rise building projects in Surabaya City.
This research was conducted with surveys filled out by 37 respondents involved
in four high-rise building projects in Surabaya City. The aim of this study is to
analyze risk factor clustering and determine the dominance of each cluster
affecting low productivity in high-rise building projects in Surabaya City by
employing the Agglomerative Hierarchical Clustering method to identify clusters
and determine the most dominant cluster using Euclidean Distance. From the
literature review, 33 risk factors were identified as the variables of this research.
The AHC method was carried out based on the mean probability and impact of
each cluster obtained from the survey. The result of AHC is that Cluster 1 consists
of 23 factors, Cluster 2 consists of 5 factors, and Cluster 3 consists of 5 factors.
For the dominance level of each cluster, the Euclidean distance method was
carried out, and the result was that Cluster 2 emerged as the highest overall risk,
and Cluster 3 represented a low overall risk.